{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "5a568d0e-bfbd-4bba-b2bb-f026d3673f08",
   "metadata": {},
   "source": [
    "## AA test multigroup split simple\n",
    "Provides simple approach to split into 2 and more groups.  \n",
    "Uses memory more efficiently than old method \"process\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "0a39f551-bd63-4b0f-aab4-1fe25387f132",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "from lightautoml.addons.hypex import AATest\n",
    "from lightautoml.addons.hypex.utils.tutorial_data_creation import create_test_data\n",
    "\n",
    "pd.options.display.float_format = '{:,.2f}'.format\n",
    "\n",
    "np.random.seed(42)  # needed to create example data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e78274b1-2f25-48c2-83f6-f7f21c08c905",
   "metadata": {},
   "source": [
    "### Prepare some large data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "78111984-665f-42ba-bce0-80fa9e0d789c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>user_id</th>\n",
       "      <th>signup_month</th>\n",
       "      <th>treat</th>\n",
       "      <th>pre_spends</th>\n",
       "      <th>post_spends</th>\n",
       "      <th>age</th>\n",
       "      <th>gender</th>\n",
       "      <th>industry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>478.00</td>\n",
       "      <td>422.89</td>\n",
       "      <td>NaN</td>\n",
       "      <td>M</td>\n",
       "      <td>Logistics</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>472.50</td>\n",
       "      <td>407.22</td>\n",
       "      <td>68.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>E-commerce</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>485.00</td>\n",
       "      <td>426.11</td>\n",
       "      <td>44.00</td>\n",
       "      <td>F</td>\n",
       "      <td>Logistics</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>485.00</td>\n",
       "      <td>466.11</td>\n",
       "      <td>59.00</td>\n",
       "      <td>F</td>\n",
       "      <td>E-commerce</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>539.00</td>\n",
       "      <td>522.78</td>\n",
       "      <td>54.00</td>\n",
       "      <td>M</td>\n",
       "      <td>E-commerce</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99995</th>\n",
       "      <td>99995</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>473.50</td>\n",
       "      <td>428.56</td>\n",
       "      <td>22.00</td>\n",
       "      <td>F</td>\n",
       "      <td>Logistics</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99996</th>\n",
       "      <td>99996</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>497.00</td>\n",
       "      <td>421.89</td>\n",
       "      <td>65.00</td>\n",
       "      <td>M</td>\n",
       "      <td>E-commerce</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99997</th>\n",
       "      <td>99997</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>485.00</td>\n",
       "      <td>517.56</td>\n",
       "      <td>20.00</td>\n",
       "      <td>M</td>\n",
       "      <td>Logistics</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99998</th>\n",
       "      <td>99998</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>458.50</td>\n",
       "      <td>410.78</td>\n",
       "      <td>69.00</td>\n",
       "      <td>M</td>\n",
       "      <td>E-commerce</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99999</th>\n",
       "      <td>99999</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>494.00</td>\n",
       "      <td>416.89</td>\n",
       "      <td>44.00</td>\n",
       "      <td>F</td>\n",
       "      <td>E-commerce</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100000 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       user_id  signup_month  treat  pre_spends  post_spends   age gender  \\\n",
       "0            0             0      0      478.00       422.89   NaN      M   \n",
       "1            1             0      0      472.50       407.22 68.00    NaN   \n",
       "2            2             0      0      485.00       426.11 44.00      F   \n",
       "3            3             8      1      485.00       466.11 59.00      F   \n",
       "4            4             1      1      539.00       522.78 54.00      M   \n",
       "...        ...           ...    ...         ...          ...   ...    ...   \n",
       "99995    99995             0      0      473.50       428.56 22.00      F   \n",
       "99996    99996             0      0      497.00       421.89 65.00      M   \n",
       "99997    99997             3      1      485.00       517.56 20.00      M   \n",
       "99998    99998             0      0      458.50       410.78 69.00      M   \n",
       "99999    99999             0      0      494.00       416.89 44.00      F   \n",
       "\n",
       "         industry  \n",
       "0       Logistics  \n",
       "1      E-commerce  \n",
       "2       Logistics  \n",
       "3      E-commerce  \n",
       "4      E-commerce  \n",
       "...           ...  \n",
       "99995   Logistics  \n",
       "99996  E-commerce  \n",
       "99997   Logistics  \n",
       "99998  E-commerce  \n",
       "99999  E-commerce  \n",
       "\n",
       "[100000 rows x 8 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "some_large_dataframe = create_test_data(rs=52, na_step=10, nan_cols=['age', 'gender'], num_users=100_000)\n",
    "some_large_dataframe"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bcd56a07-020d-489b-85da-04139e5470ca",
   "metadata": {},
   "source": [
    "### Process split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d73c71a9-affc-4f05-9098-792de285b27a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "44d99595a6b040d5bac894b96f22e0a2",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Generating random divisions:   0%|          | 0/2000 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5d7be3f93f6347f3b1595e5e4efef2bf",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Metrics calculations:   0%|          | 0/2000 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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77jKSzN133+02fejQoUaS6dmzpzl06JDbbc8++6yRZGrXrm3Onz+fad1yes3Kz/7+n//8xxXgWf/pfvrpp13LtT6u+d3ns+N8TZJkevfu7fb6sn//flfY/8ADD+R6zK+++spIMklJSR5v/8c//uH6h/tS69atc3uOO/3++++u8Obdd9/NdLu3Q7MHH3zQFZju2bPH7bb33nvPBAYGmnLlypljx465pnfq1MlIMm+++Wam5Rw/ftzjvp6Vzz//3EgXP+iwPudeeeUV1/vEzz//7HZbbt63spKfdTbm4gctf/75Z6bxFi9ebIKCgkxMTEym9yzn/h8aGmreeeedTPfdtm2b2b59u+vvS5+LTZs2dXsupqenu8L7sWPH5mmdc+pbjDFm0aJF5uTJk27TMjIyzJw5c4wk06BBg0xBbm7eY4ryvSK365oX2Y2X1ftCWlqaKyicOnWq2/vrqVOnXGH76NGj3e6X1X69ZcsWExgYaAICAsx7773ndtubb75pbDYboRlwGSI0A+AmL6HZ4MGDjSTTvXt3t+me/ml49913jXTxqK681pKb0Ozbb7/N8zjOOps2berxfs5PXq+55hqP9yvK0MzZFP7zn//MdJ+MjAxzxRVXGEnmsccec7vNue6ejpgzxpikpKQcH79Lpaenu47a+fjjjzPdfurUKdenu2+99Vau1q2gnIHTnDlz3Ka/+uqrRrp4lIzVRx99ZCSZFi1auE13BoITJkzwuKz//ve/plSpUqZ8+fJu/9Q4161OnTpuIUleVKpUyQQEBLiFyikpKcZms5mAgACPn95v3brV1cRf+rheuHDBdQTbhg0bPC5v9uzZmcKgHj16GEmZjpDKD2eA2q9fP4+3T5gwwePzqyChWXacRx+2bNnSbXpqaqoJDw83AQEBmYKos2fPmvLlyxtJbmHC9u3bjc1mM5UqVfL4IYAx/3ssLw2rc/ualZ2s9ndnuDVlyhSP92vZsqXHxzW/+3x2nK+BYWFhHoPBTz75xEgXjzrO7dFmGRkZrtezNWvWZLrdecTUp59+mqvxjDFm6dKlRpIZOHBgptu8GZodPXrUhIWFmdDQ0Ez7mNPtt99uJJl//etfrmnOo6s8BUh55TzSO6v3gp49exrp4pFMl8pvaJbfdc6JMwT57LPP3KY7t//TTz+dq3Gcz0WbzWY2b96c6fYffvjBSDI1atTIdW3GFDxIch75um3bNrfpOb3HFPV7hTH+EZo5P1Ds2bOnxzH/+usvU6FCBRMUFOT2PMpqv77llluMJDNo0CCP4/Xu3ZvQDLgMcU4zAPnmPBdMbs5v0qxZMwUGBmr+/PmaM2eODhw44LU6KlSooKuuuirf9x8xYoTH6c5zuaxatUoXLlzI9/gF9d///le//fabW02XstlsrvOlffPNNx7H6NWrl8fp9erVk6RszxN0qQ0bNujkyZOKjo72OGZ4eLgGDx6cbS35dfToUb3xxhu67777dOutt2rUqFEaNWqUVq5cKUmZzgVz4403qnTp0lq2bJn++9//ut3mPDfXmDFj3KZ/9tlnkqRBgwZ5rKFy5cqqXbu2jhw5ol9++SXT7X369FFgYGC267FlyxY988wzuuOOOzRmzBjXepw/f14ZGRn69ddfXfN+9913MsaoWbNmHk+C3LBhQ11xxRWZpm/atEl//PGHatasqebNm3usw3lumDVr1rimtWrVSpI0btw4LV26NNvzfOXEeV4b61V4nW6++WZJF9fRm8+vCxcuaPny5Zo5c6Zuv/12jR49WqNGjXJdsdW6n0RERGjAgAHKyMjIdI6/zz77TEeOHFGrVq3UoEED1/QlS5bIGKPu3bsrIiLCYx2eHl+n3Lxm5WV/P3/+vGs5w4YN8zje0KFDPU4v6D6fnW7duqlixYqZpvfs2VMxMTFKTU3Vjz/+mKuxLj2/lvWcTJs3b9bmzZsVHx+v6667LtN9z5w5o08++UTTpk3Tbbfd5tonXn75ZUmZ9wlv++abb5Senq527dpleRXn7J6Pw4YN06pVq/J8bjmn8+fPu658mdPz0Vuv2/ldZ6c//vhD8+bN09133+26mveoUaO0bds2Se7b7ODBg9q8ebMCAgJc65FbCQkJaty4cabpeX1vzKtff/1Vzz//vCZNmqSbb77ZtX6HDh2SlPU+mdV7TFG/V/iLnF6/ypQpoxYtWuj8+fM5ng9P+t/71k033eTxdk89GICSj8tSAcg3h8MhSYqOjs5x3po1a+rZZ5/VvffeqwkTJmjChAmqVq2a2rRpo549e2rgwIEKDg7OVx2XnkA7P6pXr57t9PT0dB09elQVKlQo0HLyy9m0x8TEKDIy0uM8ziuEZtXgZ3VFU+d4uQ1HnONn9Zjlppb8mDdvnu666y6dOnUqy3lSU1Pd/i5TpowGDhyoBQsW6I033tCDDz4oSTp8+LA+++wzhYaGasiQIW732bNnjyTlKoQ9cuSI6tSp4zYtu33x1KlTGj58uBYvXpztuJeuhzPsy27cxMREbdmyxW2acz1+++23HEPtI0eOuH6/9957tWrVKi1btkzXXXedSpUqpcaNG+vqq6/W4MGD1bJly2zHulRO+4pzPzl9+rTXnl+//PKL+vbt6/rH2hPrfiJdDE/feOMNLViwQFOmTHFNv/TiFZdyPr6vvvqqXn311WxruvTxdcrpNSuv+7vD4XA9h7MaO6vpBd3ns5Pd60RiYqKOHj3q2sd37typJ554ItN87du31y233CLp4naYOXOm3nnnHT333HMKCwuT9L/tNGLEiEyBwg8//KBBgwa5rszniad9wpucj/Hy5cvz9HycNWuWfvrpJ33++ef6/PPPXRdw6dixo4YNG+YKdnJy9OhR1/6R0/PRW6/b+V1nSZoxY4Yee+yxTBdoudSl28y5bePj4xUVFZWnOnN6bzxz5kyexsvJhQsXNGHCBL388ssyxmQ5X1b7ZFbP46J+r/AXzvqHDx+u4cOHZztvbup3Po459YUALi+EZgDyxRijTZs2SZIaNWqUq/vccccduvHGG/Xxxx9r1apVWrVqlRYtWqRFixYpOTlZ3333neLj4/Nci/Mfp8KUXXNrldersRWFgIDie2Dxxo0b9be//U2BgYF68skn1atXLyUkJCg8PFw2m01z587V3/72N4/baMyYMVqwYIFef/11V2j25ptv6vz58xowYIDKli3rNr9z2w0YMEClS5fOtq6YmJhM07LbF6dMmaLFixcrKSlJTzzxhFq2bKnY2FhXWNy2bVt9//33Htcju39mPN3mXI+KFSvq2muvzXY9YmNjXb+Hh4frq6++0vr16/XFF19ozZo1WrNmjTZs2KBnnnlGt99+u+bMmZPteL40YMAAbdu2TT179tR9992n+vXrKzIyUqVKldLZs2cVEhLi8X5XX321atasqd27d2vNmjVq27atDh8+rCVLlig0NNR19KST8/Ft0qSJx6NULtW6detM07LbTwqyv2cnq32ooPt8QTnX4+DBg3r99dc9zuMMzRITE9WpUyd9/fXXWrx4sYYOHapz585p4cKFkjKHm2lpaerTp48OHTqk0aNHa9y4capVq5YiIyMVGBio3bt3q27dunl+LLPj6fXfOa1WrVpq165dtve/9CihihUrasOGDVq5cqWWLVum1atXa+3atVq9erUef/xxzZo1S/fff7/Xavem/K7zhx9+qOnTp6tMmTJ6/vnn1blzZ1WqVElhYWGy2Wx68MEHNWvWLK9ts6J+b/zHP/6hl156SRUrVtQzzzyjtm3bKi4uTqGhoZIuHhH69ttvZ7l+OfU7RfVe4S+c9V933XWKi4vLdt5q1aoVRUkASiBCMwD5smTJEh07dkzSxa/g5FZcXJxuvfVW3XrrrZIuHl0wZswYff/993rggQey/KepMDkvc26VkpIiSQoNDXX7Z9EZcvz1118e75fVZe3zy/nVlqNHjyo1NdXj0WbOT1uz+hqMt2vJ6jErjFree+89GWN0xx136L777st0e3ZfGbvqqqtUq1Yt7d69W6tXr1a7du1cX+2yfjVTkqpWrapffvlF999/v1q0aOGV+p3effddSdI777zj8WsyntbD+Rg690VPPN1WtWpVSRdDDutX2XKjZcuWrqPKzp8/r48++kgjRozQCy+8oAEDBqhTp045jlG5cmX99ttv2rNnjxo2bJjpdud+EhoamqujVXOyc+dO/fTTT6pQoYIWL16soCD3Fie7/cRms2nUqFF6+OGH9dprr6lt27aucPXGG2/MFK46H9927drp+eefL3Dtl8rP/h4TE6OQkBCdOXNG+/btU/369TPNk9U+VJj7fHavE856qlSpIuniV8ByE4SMHj1aX3/9tV577TUNHTpUn3zyiRwOh9q2bau6deu6zfvtt9/q0KFDatasmebPn59prLx+3VSSSpUqpXPnzumvv/7y+NVcT6//zv2lbt26eX4+2mw2dezY0fUVudOnT2vBggUaP368HnzwQQ0YMMB1lFhWLt0/9uzZ4/H1x9uv2/ldZ+fr5GOPPaaxY8dmut3TNnMeLXbgwAGdOHEiz0ebFSXn+r388su64YYbMt2en31S8t17ha9VrVpVO3fu1M0336wBAwYUeDzn+1ZKSorbV/Kdsnt8AZRcxffQAwA+c+LECd11112SpGuuuUZNmjTJ91hJSUmuT8o3b97sdpsznMrveVxy68033/Q43Xl+o/bt27v9A+5sTnfs2JHpPmlpaVmeEya/61OlShXXP0WemlpjjGt6bsKMgmjRooXKlCmjP//8Ux9//HGm29PT07Vo0SKv1vLnn39K8vwp8enTp/XBBx9ke3/n0ScLFizQxo0btXXrVlWtWlVdunTJNG/37t0l/e8fG2/Kbj2WLl3q+rrzpa666irZbDZt3LhRu3fvznT79u3bM33dRpLrKLbt27dn+1XF3AgKCtKAAQNcRyFYn6dZcf6Tn9U/Ys4Q46qrrsoUcOWH8/GtVKmSx/Gyep47jRo1SgEBAXr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      "text/plain": [
       "<Figure size 1500x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x1200 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x3600 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "target = ['post_spends', 'pre_spends']\n",
    "# Dict \n",
    "#  key - group name\n",
    "#  value - share\n",
    "#  The sum of the shares is 1\n",
    "groups = {'test1': 0.3, 'test2': 0.2, 'control': 0.5 }\n",
    "\n",
    "aa_test = AATest()\n",
    "results = aa_test.process_split(df=some_large_dataframe, target_fields=target, groups=groups)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "9d383167-895a-4f1c-ad49-8d679d230dbc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['best metric', 'best split', 'all metrics', 'all splits', 'best split DataFrame', 'get_resume'])"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results.keys()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "22700a2c-3d1c-4911-9460-6366b7586046",
   "metadata": {},
   "source": [
    "`results` is a dictionary with dataframes as values.<br>\n",
    "* 'best split' - result of best separation\n",
    "* 'best metric' - metrics of best split  \n",
    "* 'all metrics' - metrics of all experiments (i.e. of random splits)  \n",
    "* 'all splists' - results of all random splits  \n",
    "* 'best split DataFrame' - pandas DataFrame with column 'group' (or defined by 'group_column_name' parameter) contains values defined as keys in 'groups' parameter  \n",
    "* 'get resume' - function that plots p-values distribution of all experiments\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ea1ebdec-2743-4acc-a8a4-7eb3b17c1179",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "control post_spends mean                          451.86\n",
       "test1 post_spends mean                            451.93\n",
       "test2 post_spends mean                            451.90\n",
       "post_spends mean delta (control - test1)           -0.06\n",
       "post_spends mean delta% (control - test1)/test1    -0.01\n",
       "post_spends t-test p-value (control,test1)          0.83\n",
       "post_spends ks-test p-value (control,test1)         0.98\n",
       "post_spends mean delta (control - test2)           -0.04\n",
       "post_spends mean delta% (control - test2)/test2    -0.01\n",
       "post_spends t-test p-value (control,test2)          0.91\n",
       "post_spends ks-test p-value (control,test2)         1.00\n",
       "post_spends mean delta (test1 - test2)              0.02\n",
       "post_spends mean delta% (test1 - test2)/test2       0.01\n",
       "post_spends t-test p-value (test1,test2)            0.95\n",
       "post_spends ks-test p-value (test1,test2)           0.97\n",
       "post_spends mean t-test p-value                     0.89\n",
       "post_spends mean ks-test p-value                    0.98\n",
       "post_spends t-test passed                           True\n",
       "post_spends ks-test passed                          True\n",
       "control pre_spends mean                           487.31\n",
       "test1 pre_spends mean                             487.35\n",
       "test2 pre_spends mean                             487.27\n",
       "pre_spends mean delta (control - test1)            -0.04\n",
       "pre_spends mean delta% (control - test1)/test1     -0.01\n",
       "pre_spends t-test p-value (control,test1)           0.75\n",
       "pre_spends ks-test p-value (control,test1)          0.77\n",
       "pre_spends mean delta (control - test2)             0.03\n",
       "pre_spends mean delta% (control - test2)/test2      0.01\n",
       "pre_spends t-test p-value (control,test2)           0.83\n",
       "pre_spends ks-test p-value (control,test2)          0.94\n",
       "pre_spends mean delta (test1 - test2)               0.08\n",
       "pre_spends mean delta% (test1 - test2)/test2        0.02\n",
       "pre_spends t-test p-value (test1,test2)             0.66\n",
       "pre_spends ks-test p-value (test1,test2)            0.51\n",
       "pre_spends mean t-test p-value                      0.83\n",
       "pre_spends mean ks-test p-value                     0.88\n",
       "pre_spends t-test passed                            True\n",
       "pre_spends ks-test passed                           True\n",
       "mean of means t-test p-value                        0.86\n",
       "mean of means ks-test p-value                       0.93\n",
       "t-test passed %                                   100.00\n",
       "ks-test passed %                                  100.00\n",
       "mean_test_score                                     0.91\n",
       "experiment_index                                     909\n",
       "Name: 908, dtype: object"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results['best metric']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "eb0ab274-6385-4052-9e8e-217b116d49e8",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.15"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
